An efficient improved particle swarm optimization based on prey behavior of fish schooling

An efficient improved particle swarm optimization based on prey behavior of fish schooling

Particle swarm optimization (PSO) is a population based optimization technique to search approximate solutions for extremely difficult or impossible numeric problems. However, PSO may easily get trapped in a local optimum when solving complex multimodal problems. This paper proposes an efficient imp...

Full description

Bibliographic Details
Main Authors: Xiaohu YAN, Fazhi HE, Yilin CHEN, Zhiyong YUAN
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2015-09-01
Series:Journal of Advanced Mechanical Design, Systems, and Manufacturing
Subjects:
improved particle swarm optimization
fish schooling
prey behavior
global search ability
local optimum
Online Access:https://www.jstage.jst.go.jp/article/jamdsm/9/4/9_2015jamdsm0048/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/jamdsm/9/4/9_2015jamdsm0048/_pdf/-char/en

Similar Items